256
Views
5
CrossRef citations to date
0
Altmetric
Original Research

OTOP2, Inversely Modulated by miR-3148, Inhibits CRC Cell Migration, Proliferation and Epithelial–Mesenchymal Transition: Evidence from Bioinformatics Data Mining and Experimental Verification

&
Pages 1371-1384 | Published online: 07 Apr 2022

References

  • Castells A. Hereditary forms of colorectal cancer. Gastroenterol Hepatol. 2016;39(Suppl 1):62–67. doi:10.1016/S0210-5705(16)30176-5
  • Patel SG, Ahnen DJ. Colorectal cancer in the young. Curr Gastroenterol Rep. 2018;20(4):15. doi:10.1007/s11894-018-0618-9
  • Wrobel P, Ahmed S. Current status of immunotherapy in metastatic colorectal cancer. Int J Colorectal Dis. 2019;34(1):13–25. doi:10.1007/s00384-018-3202-8
  • Simon K, Simon K. Colorectal cancer development and advances in screening. Clin Interv Aging. 2016;11:967–976. doi:10.2147/CIA.S109285
  • Thanikachalam K, Khan G. Colorectal cancer and nutrition. Nutrients. 2019;11(1):164. doi:10.3390/nu11010164
  • La Vecchia S, Sebastián C. Metabolic pathways regulating colorectal cancer initiation and progression. Semin Cell Dev Biol. 2020;98:63–70. doi:10.1016/j.semcdb.2019.05.018
  • Kuipers EJ, Grady WM, Lieberman D, et al. Colorectal cancer. Nat Rev Dis Primers. 2015;1:15065. doi:10.1038/nrdp.2015.65
  • Piawah S, Venook AP. Targeted therapy for colorectal cancer metastases: a review of current methods of molecularly targeted therapy and the use of tumor biomarkers in the treatment of metastatic colorectal cancer. Cancer. 2019;125(23):4139–4147. doi:10.1002/cncr.32163
  • Weitz J, Koch M, Debus J, Höhler T, Galle PR, Büchler MW. Colorectal cancer. Lancet. 2005;365(9454):153–165. doi:10.1016/S0140-6736(05)17706-X
  • Zhou Y, Bian S, Zhou X, et al. Single-cell multiomics sequencing reveals prevalent genomic alterations in tumor stromal cells of human colorectal cancer. Cancer Cell. 2020;38(6):818–28.e5. doi:10.1016/j.ccell.2020.09.015
  • Zhang Y, Song J, Zhao Z, et al. Single-cell transcriptome analysis reveals tumor immune microenvironment heterogenicity and granulocytes enrichment in colorectal cancer liver metastases. Cancer Lett. 2020;470:84–94. doi:10.1016/j.canlet.2019.10.016
  • Mini E, Lapucci A, Perrone G, et al. RNA sequencing reveals PNN and KCNQ1OT1 as predictive biomarkers of clinical outcome in stage III colorectal cancer patients treated with adjuvant chemotherapy. Int J Cancer. 2019;145(9):2580–2593. doi:10.1002/ijc.32326
  • Wan L, Yu W, Shen E, et al. SRSF6-regulated alternative splicing that promotes tumour progression offers a therapy target for colorectal cancer. Gut. 2019;68(1):118–129. doi:10.1136/gutjnl-2017-314983
  • Li T, Hu PS, Zuo Z, et al. METTL3 facilitates tumor progression via an m(6) A-IGF2BP2-dependent mechanism in colorectal carcinoma. Mol Cancer. 2019;18(1):112. doi:10.1186/s12943-019-1038-7
  • Chen L, Lu D, Sun K, et al. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis. Gene. 2019;692:119–125. doi:10.1016/j.gene.2019.01.001
  • Yang Y, Misra BB, Liang L, et al. Integrated microbiome and metabolome analysis reveals a novel interplay between commensal bacteria and metabolites in colorectal cancer. Theranostics. 2019;9(14):4101–4114. doi:10.7150/thno.35186
  • Kim SK, Kim SY, Kim JH, et al. A nineteen gene-based risk score classifier predicts prognosis of colorectal cancer patients. Mol Oncol. 2014;8(8):1653–1666. doi:10.1016/j.molonc.2014.06.016
  • Yamada A, Yu P, Lin W, Okugawa Y, Boland CR, Goel A. A RNA-sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer. Sci Rep. 2018;8(1):575. doi:10.1038/s41598-017-18407-6
  • Mahi NA, Najafabadi MF, Pilarczyk M, Kouril M, Medvedovic M. GREIN: an interactive web platform for re-analyzing GEO RNA-seq data. Sci Rep. 2019;9(1):7580. doi:10.1038/s41598-019-43935-8
  • Chen EY, Tan CM, Kou Y, et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinform. 2013;14:128. doi:10.1186/1471-2105-14-128
  • Mi H, Muruganujan A, Casagrande JT, Thomas PD. Large-scale gene function analysis with the PANTHER classification system. Nat Protoc. 2013;8(8):1551–1566. doi:10.1038/nprot.2013.092
  • Kanehisa M, Sato Y, Kawashima M. KEGG mapping tools for uncovering hidden features in biological data. Protein Sci. 2021;31(1):47–53. doi:10.1002/pro.4172
  • Wang X. miRDB: a microRNA target prediction and functional annotation database with a wiki interface. RNA. 2008;14(6):1012–1017. doi:10.1261/rna.965408
  • Chin CH, Chen SH, Wu HH, Ho CW, Ko MT, Lin CY. cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8 Suppl 4(Suppl 4):S11. doi:10.1186/1752-0509-8-S4-S11
  • Győrffy B. Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer. Comput Struct Biotechnol J. 2021;19:4101–4109. doi:10.1016/j.csbj.2021.07.014
  • Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45(W1):W98–w102. doi:10.1093/nar/gkx247
  • Chandrashekar DS, Bashel B, Balasubramanya SAH, et al. UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 2017;19(8):649–658. doi:10.1016/j.neo.2017.05.002
  • Malki A, ElRuz RA, Gupta I, Allouch A, Vranic S, Al Moustafa AE. Molecular mechanisms of colon cancer progression and metastasis: recent insights and advancements. Int J Mol Sci. 2020;22(1):130. doi:10.3390/ijms22010130
  • Kim SK, Kim SY, Kim CW, et al. A prognostic index based on an eleven gene signature to predict systemic recurrences in colorectal cancer. Exp Mol Med. 2019;51(10):1–12. doi:10.1038/s12276-019-0319-y
  • Low END, Mokhtar NM, Wong Z, Raja Ali RA. Colonic mucosal transcriptomic changes in patients with long-duration ulcerative colitis revealed colitis-associated cancer pathways. J Crohns Colitis. 2019;13(6):755–763. doi:10.1093/ecco-jcc/jjz002
  • Sah N, Kuehu DL, Khadka VS, et al. RNA sequencing-based analysis of the laying hen uterus revealed the novel genes and biological pathways involved in the eggshell biomineralization. Sci Rep. 2018;8(1):16853. doi:10.1038/s41598-018-35203-y
  • Shinde V, Hu N, Mahale A, et al. RNA sequencing of corneas from two keratoconus patient groups identifies potential biomarkers and decreased NRF2-antioxidant responses. Sci Rep. 2020;10(1):9907. doi:10.1038/s41598-020-66735-x
  • Parikh K, Antanaviciute A, Fawkner-Corbett D, et al. Colonic epithelial cell diversity in health and inflammatory bowel disease. Nature. 2019;567(7746):49–55. doi:10.1038/s41586-019-0992-y
  • Vu T, Datta PK. Regulation of EMT in colorectal cancer: a culprit in metastasis. Cancers. 2017;9(12):171. doi:10.3390/cancers9120171
  • Akamine T, Morodomi Y, Harada Y, et al. miR-3148 is a novel onco-microRNA that potentiates tumor growth in vivo. Anticancer Res. 2018;38(10):5693–5701. doi:10.21873/anticanres.12906
  • Vishnubalaji R, Elango R, Manikandan M, et al. MicroRNA-3148 acts as molecular switch promoting malignant transformation and adipocytic differentiation of immortalized human bone marrow stromal cells via direct targeting of the SMAD2/TGFβ pathway. Cell Death Discov. 2020;6:79. doi:10.1038/s41420-020-00312-z